Operational analytics in managed networks

Abstract

A computing system and method for remote monitoring and forecasting of performance of a managed network is disclosed. The computing system may be disposed within a remote network management platform and be configured for monitoring respective performance of each of a plurality of network entities of the managed network. For each network entity, an alert may be issued in response to determining that the monitored respective performance is below a respective threshold performance level. Based on analysis of a group of alerts, a likelihood may be determined that a different alert will be issued for the monitored performance of a particular network entity of the plurality for which no respective alert has yet been issued. In response to the likelihood exceeding a threshold, an alert prediction for the performance of the particular network entity may be issued together with a score corresponding to the likelihood.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This disclosure is a continuation of and claims priority to U.S. application Ser. No. 15 / 587,066, filed on May 4, 2017, which is herein incorporated by reference in their entireties.BACKGROUND[0002]As an enterprise employs more and remotely managed networks that include more and more devices and services, it becomes difficult to monitor performance in a manner that can keep pace with the speed at which and ways with which anomalies can escalate into problems. The enterprise might have tools with which to discover events after they happen. These tools, however, are insufficient for rapidly assessing how observed performance in one device or service may later impact performance of another device or service. As a consequence, a network manager of an enterprise network is often playing catch-up when faced with performance issues.SUMMARY[0003]It is now common for enterprise networks to include tens of thousands of devices across dozens of netw...

AI Technical Summary

Benefits of technology

Enables proactive network performance management by predicting potential issues before they occur, allowing for preventive actions to be taken, thereby improving operational efficiency and reducing downtime.

Problems solved by technology

It negatively impacts an enterprise's ability to run and grow its business, innovate, and meet regulatory requirements.

The enterprise may find it difficult to integrate, streamline and enhance its operations due to lack of a single system that unifies its subsystems and data.

The exact physical location, connectivity, and configuration of these computing devices may be unknown and / or unimportant to client devices.

To the extent that these computing tasks can be performed in parallel, such a distribution of tasks may reduce the total time to complete these tasks and return a result.

As a consequence, a security breach in this system may impact all customers' data, creating additional risk, especially for entities subject to governmental, healthcare, and / or financial regulation.

Furthermore, any database operations that impact one customer will likely impact all customers sharing that database.

Thus, if there is an outage due to hardware or software errors, this outage affects all such customers.

Likewise, if the database is to be upgraded to meet the needs of one customer, it will be unavailable to all customers during the upgrade process.

Often, such maintenance windows will be long, due to the size of the shared database

Maintenance down time is limited because the database only contains one customer's data.

These tasks may result in proxy servers 312 logging on, or otherwise accessing information from the particular device.

Thus, if the server device is taken out of operation for maintenance, it is clear that the employee onboarding service and payroll service will be impacted.

In the context of the currently illustrative example, these jumps could represent a jump in capacity utilization or like that results in performance degradation and the issuing of the alerts that are shown for each device / service.

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